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1,565

Business Intelligence jobs in Canada

Data Architect (Hybrid)

Data Architect (Hybrid)
Ontario Teachers' Pension Plan
Toronto
CAD 90,000 - 130,000
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Project Manager, Technology Transformation

Project Manager, Technology Transformation
Rohit Group
Edmonton
CAD 80,000 - 120,000

Business Intelligence Analyst – Intermediate

Business Intelligence Analyst – Intermediate
GuuZ Consulting Services Inc
Alberta
CAD 60,000 - 100,000

Sr. Manager, Product Design - Evisort AI

Sr. Manager, Product Design - Evisort AI
Workday
Toronto
CAD 150,000 - 227,000

Senior Strategy Manager-Revenue Operations

Senior Strategy Manager-Revenue Operations
Intello Technologies Inc.
Toronto
CAD 94,000 - 142,000
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Senior Applied AI/ML Scientist

Senior Applied AI/ML Scientist
Sprout Social
Canada
Remote
CAD 142,000 - 214,000

Canada_National Sales Manager

Canada_National Sales Manager
Celltrion Healthcare Canada Ltd.
Toronto
CAD 110,000 - 150,000

Lead Data Engineer

Lead Data Engineer
Psycho Bunny
Montreal
CAD 90,000 - 130,000
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Amazon Advertising Manager

Amazon Advertising Manager
Trellis
Ottawa
CAD 70,000 - 90,000

Director of Data

Director of Data
Tailscale
Canada
Remote
CAD 297,000 - 366,000

Site Business Operations Lead

Site Business Operations Lead
Moderna
Laval
CAD 85,000 - 110,000

Senior Business Intelligence Analyst

Senior Business Intelligence Analyst
Maritime Ontario Freightworks
Brampton
Remote
CAD 70,000 - 100,000

Data Engineer

Data Engineer
Sanofi
Toronto
USD 94,000 - 137,000

Product Manager

Product Manager
Siemens Mobility
Oakville
CAD 80,000 - 110,000

Power BI/Alteryx Consultant

Power BI/Alteryx Consultant
ALLTECH CONSULTING SVC INC
Quebec
CAD 70,000 - 110,000

Commercial Lead, Narcolepsy

Commercial Lead, Narcolepsy
Takeda
Toronto
CAD 90,000 - 120,000

Senior Analytics Engineer

Senior Analytics Engineer
RideCo Inc.
Waterloo
CAD 120,000 - 140,000

VP Data & BI, Toronto *Completed*

VP Data & BI, Toronto *Completed*
Corporate Recruiters Ltd.
Vancouver
CAD 150,000 - 250,000

Business Intelligence Analyst

Business Intelligence Analyst
MaineHealth
Kingston
CAD 70,000 - 90,000

Senior Manager, Analytics & Insights (eCommerce)

Senior Manager, Analytics & Insights (eCommerce)
Cymax
Vancouver
CAD 120,000 - 140,000

Strategic Operations Associate, Canada Mobility

Strategic Operations Associate, Canada Mobility
Uber
Toronto
CAD 89,000 - 99,000

Customer Data Engineer (Toronto, ON)

Customer Data Engineer (Toronto, ON)
League
Toronto
CAD 120,000 - 150,000

Cloud Data Architect

Cloud Data Architect
ALLTECH CONSULTING SVC INC
Quebec
CAD 100,000 - 130,000

Senior Data Consultant

Senior Data Consultant
Keyrus US
Montreal
CAD 90,000 - 120,000

Technology – Head of Software Development

Technology – Head of Software Development
Stonewood Group Inc.
Ottawa
CAD 90,000 - 130,000

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Data Architect (Hybrid)

Ontario Teachers' Pension Plan
Toronto
CAD 90,000 - 130,000
Job description

We are looking for Data Architect to join the Enterprise Data Platforms team within our Data & Analytics program. You will be responsible for designing, delivering and consulting on logical and physical data models, virtualized and persistent integrated data sets, data access layer designs, and other data management aspects of solution development as part of the holistic suite of technology solutions provided to business teams.

Who you'll work with

Communicate and interact effectively with systems professionals and end users who are not systems experts. Work independently, prioritize work assignments, meet deadlines and produce an adequate volume of work. You will be working closely with solution engineering, product groups, and business partners to define, design and implement data architecture standards and solutions to ensure that our enterprise data architecture is technically sound and meets the needs of our business.

What you'll do

Data Modeling

Lead the creation and update of logical and physical bi-temporal relational and dimensional data models (and related documentation) for new and existing subject areas, including financial instruments, legal entities, reference, collateral, transactions, positions/valuations, benchmarks, performance, exposure and risk measures.

Track and monitor the known gaps in the data requirements/ model and develop reporting to communicate overall progress toward end-state of the enterprise warehouse services.

Determines appropriate integration patterns through hands-on experimentation including some of the following activities:

Transform and clean raw data to adopt appropriate store model for selection data type

Aggregating data to ensure suitability for analytical consumption

Filtering information to eliminate irrelevant, duplicated, or overly sensitive data

Joining and / or integrating two or more database tables via their matching attributes

Data validation and processing

Contribute to the design of access security (row-based vs. column-based).

Work with subject matter experts, Business Analysts and Technology teams to understand the data requirements and the full attribute set for entities and dimensions.

Advise downstream data consumers on design of data consumption and data marts to meet specific end-user reporting requirements.

Develop and maintain data documentation such as entity relationship models (ERDs), data lineage, meta data and transformation rules.

Contribute towards development of data standards, data dictionaries, data quality rules, processes, and definitions of project and data requirements in support of strategy and ongoing operational support.

Participate in solution/compute/Infrastructure design to accommodate workload requirements for business solutions.

What you'll need

Bachelor’s degree in Computer Science, or related field, or equivalent IT (Information Technology) experience

Five years of progressive experience in the asset management/capital markets/investment management industry preferred

Six years of experience in the following: architecting enterprise information systems, analyzing inter-relationships between various domains of enterprise information

Extensive experience with modelling in a Data Warehousing and BI (Business Intelligence) context (star schemas, BI modelling issues such as slowly changing dimensions).

Experience with architectures supporting data integration and data orchestration for different data consumption requirements: operational data store, data warehouse, data marts, analytical data stores

Must have strong hands-on modelling, data integration and solution design experience - including strong version control, repository management, merge/compare utilities, and management of target models.

Experience with cloud data platforms and understanding of lake house Architecture

Experience with data and service integration both on prem and cloud

Proven record of delivering executable, communicable data models

Hands-on experience with Oracle, SQL server (AzureSQL, SQL MI, and Cloud data platform – Snowflake preferred)

Hands-on experience with an analytical tools e.g. Power BI

Hands-on experience with Python and spark framework

Strong communication skills with the ability to present and explain data in a way that establishes rapport, persuades others and gains understanding at peer levels.

#LI-OTPP, #LI-INITIALS, #LI-Hybrid (as applicable)

What we’re offering

Pay-for-performance environment that offers competitive salary and incentive

Numerous opportunities for professional growth and development

Comprehensive employer paid benefits coverage

Retirement income through a defined benefit pension plan

The opportunity to invest back into the fund through our Deferred Incentive Program

A flexible/hybrid work environment combining in office collaboration and remote working

Competitive time off

Our Flexible Travel Program gives you the option to work abroad in another region/country for up to a month each year

Employee discount programs including Edvantage and Perkopolis

Degreed: a digital platform that helps you quickly and easily discover, share, and track various learning resources — from courses to videos to articles and more

At Ontario Teachers', diversity is one of our core strengths. We take pride in ensuring that the people we hire and the culture we create, reflect and embrace diversity of thought, background and experience. Through our Diversity, Equity and Inclusion strategy and our Employee Resource Groups (ERGs), we celebrate diversity and foster inclusion through events for colleagues to connect for professional development, networking & mentoring. We are building an inclusive and equitable workplace where our talent is respected, accepted and empowered to be themselves. To learn more about our commitment to Diversity, Equity and Inclusion, check out Life at Teachers'.

How to apply

Are you ready to pursue new challenges and take your career to the next level? Apply today! You may be invited to complete a pre-recorded digital interview as part of your application.

Accommodations are available upon request (peopleandculture@otpp.com) for candidates with a disability taking part in the recruitment process and once hired.

Candidates must be legally entitled to work in the country where this role is located.

The privacy of your personal information is important to us. Please visit our Privacy Centre to learn how we handle your personal information.

Functional Areas:

Operations

The opportunity

We are looking for Data Architect to join the Enterprise Data Platforms team within our Data & Analytics program. You will be responsible for designing, delivering and consulting on logical and physical data models, virtualized and persistent integrated data sets, data access layer designs, and other data management aspects of solution development as part of the holistic suite of technology solutions provided to business teams.

Who you'll work with

Communicate and interact effectively with systems professionals and end users who are not systems experts. Work independently, prioritize work assignments, meet deadlines and produce an adequate volume of work. You will be working closely with solution engineering, product groups, and business partners to define, design and implement data architecture standards and solutions to ensure that our enterprise data architecture is technically sound and meets the needs of our business.

What you'll do
  • Data Modeling

    • Lead the creation and update of logical and physical bi-temporal relational and dimensional data models (and related documentation) for new and existing subject areas, including financial instruments, legal entities, reference, collateral, transactions, positions/valuations, benchmarks, performance, exposure and risk measures.

    • Track and monitor the known gaps in the data requirements/ model and develop reporting to communicate overall progress toward end-state of the enterprise warehouse services.

  • Determines appropriate integration patterns through hands-on experimentation including some of the following activities:

    • Transform and clean raw data to adopt appropriate store model for selection data type

    • Aggregating data to ensure suitability for analytical consumption

    • Filtering information to eliminate irrelevant, duplicated, or overly sensitive data

    • Joining and / or integrating two or more database tables via their matching attributes

    • Data validation and processing

  • Contribute to the design of access security (row-based vs. column-based).

  • Work with subject matter experts, Business Analysts and Technology teams to understand the data requirements and the full attribute set for entities and dimensions.

  • Advise downstream data consumers on design of data consumption and data marts to meet specific end-user reporting requirements.

  • Develop and maintain data documentation such as entity relationship models (ERDs), data lineage, meta data and transformation rules.

  • Contribute towards development of data standards, data dictionaries, data quality rules, processes, and definitions of project and data requirements in support of strategy and ongoing operational support.

  • Participate in solution/compute/Infrastructure design to accommodate workload requirements for business solutions.

What you'll need
  • Bachelor’s degree in Computer Science, or related field, or equivalent IT (Information Technology) experience

  • Five years of progressive experience in the asset management/capital markets/investment management industry preferred

  • Six years of experience in the following: architecting enterprise information systems, analyzing inter-relationships between various domains of enterprise information

  • Extensive experience with modelling in a Data Warehousing and BI (Business Intelligence) context (star schemas, BI modelling issues such as slowly changing dimensions).

  • Experience with architectures supporting data integration and data orchestration for different data consumption requirements: operational data store, data warehouse, data marts, analytical data stores

  • Must have strong hands-on modelling, data integration and solution design experience - including strong version control, repository management, merge/compare utilities, and management of target models.

  • Experience with cloud data platforms and understanding of lake house Architecture

  • Experience with data and service integration both on prem and cloud

  • Proven record of delivering executable, communicable data models

  • Hands-on experience with Oracle, SQL server (AzureSQL, SQL MI, and Cloud data platform – Snowflake preferred)

  • Hands-on experience with an analytical tools e.g. Power BI

  • Hands-on experience with Python and spark framework

  • Strong communication skills with the ability to present and explain data in a way that establishes rapport, persuades others and gains understanding at peer levels.

#LI-OTPP, #LI-INITIALS, #LI-Hybrid (as applicable)

What we’re offering

  • Pay-for-performance environment that offers competitive salary and incentive

  • Numerous opportunities for professional growth and development

  • Comprehensive employer paid benefits coverage

  • Retirement income through a defined benefit pension plan

  • The opportunity to invest back into the fund through our Deferred Incentive Program

  • A flexible/hybrid work environment combining in office collaboration and remote working

  • Competitive time off

  • Our Flexible Travel Program gives you the option to work abroad in another region/country for up to a month each year

  • Employee discount programs including Edvantage and Perkopolis

  • Degreed: a digital platform that helps you quickly and easily discover, share, and track various learning resources — from courses to videos to articles and more

At Ontario Teachers', diversity is one of our core strengths. We take pride in ensuring that the people we hire and the culture we create, reflect and embrace diversity of thought, background and experience. Through our Diversity, Equity and Inclusion strategy and our Employee Resource Groups (ERGs), we celebrate diversity and foster inclusion through events for colleagues to connect for professional development, networking & mentoring. We are building an inclusive and equitable workplace where our talent is respected, accepted and empowered to be themselves. To learn more about our commitment to Diversity, Equity and Inclusion, check out Life at Teachers'.

How to apply

Are you ready to pursue new challenges and take your career to the next level? Apply today! You may be invited to complete a pre-recorded digital interview as part of your application.

Accommodations are available upon request (peopleandculture@otpp.com) for candidates with a disability taking part in the recruitment process and once hired.

Candidates must be legally entitled to work in the country where this role is located.

The privacy of your personal information is important to us. Please visit our Privacy Centre to learn how we handle your personal information.

Functional Areas:

Operations

Requisition ID:

5098

About the company

The Ontario Teachers' Pension Plan Board is an independent organization responsible for administering defined-benefit pensions for school teachers of the Canadian province of Ontario.

Notice

Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.

Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.

An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report . NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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